{"pageNumber":"1213","pageRowStart":"30300","pageSize":"25","recordCount":165296,"records":[{"id":70169250,"text":"70169250 - 2015 - Record long-distance movement of a Deer Mouse, <i>Peromyscus maniculatus</i>, in a New England montane boreal forest","interactions":[],"lastModifiedDate":"2020-12-17T21:33:55.292659","indexId":"70169250","displayToPublicDate":"2015-03-01T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1163,"text":"Canadian Field-Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Record long-distance movement of a Deer Mouse, <i>Peromyscus maniculatus</i>, in a New England montane boreal forest","docAbstract":"<p><span>We report a single-season, non-homing movement of 4287 &plusmn; 10 m by an adult male Deer Mouse, <i>Peromyscus maniculatus</i>, in western Maine, United States, in summer 2014. The movement was achieved in two stages: 927 &plusmn; 3 m in four days and an additional 3360 &plusmn; 10 m in 44 days. This is approximately 40% greater than the previously documented maximum linear movement for an individual of this species.</span></p>","language":"English","publisher":"Canadian Field-Naturalist","doi":"10.22621/cfn.v129i2.1699","usgsCitation":"Wood, C.M., and McKinney, S.T., 2015, Record long-distance movement of a Deer Mouse, <i>Peromyscus maniculatus</i>, in a New England montane boreal forest: Canadian Field-Naturalist, v. 129, no. 2, p. 181-182, https://doi.org/10.22621/cfn.v129i2.1699.","productDescription":"2 p.","startPage":"181","endPage":"182","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060609","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472237,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.22621/cfn.v129i2.1699","text":"Publisher Index Page"},{"id":381472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Bigelow Mountain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.1707077026367,\n              45.170904055958275\n            ],\n            [\n              -70.1590347290039,\n              45.12828897287208\n            ],\n            [\n              -70.28091430664062,\n              45.11108864164466\n            ],\n            [\n              -70.2802276611328,\n              45.10091135693748\n            ],\n            [\n              -70.30288696289062,\n              45.09824557777033\n            ],\n            [\n              -70.31078338623047,\n              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PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-05","publicationStatus":"PW","scienceBaseUri":"56f50fcfe4b0f59b85e1eb91","contributors":{"authors":[{"text":"Wood, Connor M.","contributorId":167785,"corporation":false,"usgs":false,"family":"Wood","given":"Connor","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":623507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKinney, Shawn T. smckinney@usgs.gov","contributorId":5175,"corporation":false,"usgs":true,"family":"McKinney","given":"Shawn","email":"smckinney@usgs.gov","middleInitial":"T.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":623391,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70143924,"text":"70143924 - 2015 - Soil disturbance as a driver of increased stream salinity in a semiarid watershed undergoing energy development","interactions":[],"lastModifiedDate":"2018-08-09T12:45:36","indexId":"70143924","displayToPublicDate":"2015-03-01T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Soil disturbance as a driver of increased stream salinity in a semiarid watershed undergoing energy development","docAbstract":"<p>Salinization is a global threat to the quality of streams and rivers, but it can have many causes. Oil and gas development were investigated as one of several potential causes of changes in the salinity of Muddy Creek, which drains 2470 km2 of mostly public land in Wyoming, U.S.A. Stream discharge and salinity vary with seasonal snowmelt and define a primary salinity-discharge relationship. Salinity, measured by specific conductance, increased substantially in 2009 and was 53-71% higher at low discharge and 33-34% higher at high discharge for the years 2009-2012 compared to 2005-2008. Short-term processes (e.g., flushing of efflorescent salts) cause within-year deviations from the primary relation but do not obscure the overall increase in salinity. Dissolved elements associated with increased salinity include calcium, magnesium, and sulfate, a composition that points to native soil salts derived from marine shales as a likely source. Potential causes of the salinity increase were evaluated for consistency by using measured patterns in stream chemistry, slope of the salinity-discharge relationship, and inter-annual timing of the salinity increase. Potential causes that were inconsistent with one or more of those criteria included effects from precipitation, evapotranspiration, reservoirs, grazing, irrigation return flow, groundwater discharge, discharge of energy co-produced waters, and stream habitat restoration. In contrast, surface disturbance of naturally salt-rich soil by oil and gas development activities, such as pipeline, road, and well pad construction, is a reasonable candidate for explaining the salinity increase. As development continues to expand in semiarid lands worldwide, the potential for soil disturbance to increase stream salinity should be considered, particularly where soils host substantial quantities of native salts.</p>","language":"English","publisher":"European Geophysical Society","publisherLocation":"New York, NY","doi":"10.1016/j.jhydrol.2015.02.020","usgsCitation":"Bern, C., Clark, M.L., Schmidt, T., Holloway, J.M., and Mcdougal, R., 2015, Soil disturbance as a driver of increased stream salinity in a semiarid watershed undergoing energy development: Journal of Hydrology: Regional Studies, v. 524, p. 123-136, https://doi.org/10.1016/j.jhydrol.2015.02.020.","productDescription":"14 p.","startPage":"123","endPage":"136","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057757","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":298890,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"524","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55128ab5e4b02e76d75bd621","contributors":{"authors":[{"text":"Bern, Carleton R. cbern@usgs.gov","contributorId":139818,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton R.","email":"cbern@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":543108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Melanie L. mlclark@usgs.gov","contributorId":1827,"corporation":false,"usgs":true,"family":"Clark","given":"Melanie","email":"mlclark@usgs.gov","middleInitial":"L.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":543110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holloway, JoAnn M. 0000-0003-3603-7668 jholloway@usgs.gov","orcid":"https://orcid.org/0000-0003-3603-7668","contributorId":918,"corporation":false,"usgs":true,"family":"Holloway","given":"JoAnn","email":"jholloway@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":543111,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mcdougal, Robert rmcdouga@usgs.gov","contributorId":139819,"corporation":false,"usgs":true,"family":"Mcdougal","given":"Robert","email":"rmcdouga@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":543112,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70147491,"text":"70147491 - 2015 - Quaternary tephrochronology and deposition in the subsurface Sacramento–San Joaquin Delta, California, U.S.A.","interactions":[],"lastModifiedDate":"2021-08-31T16:01:18.181621","indexId":"70147491","displayToPublicDate":"2015-03-01T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Quaternary tephrochronology and deposition in the subsurface Sacramento–San Joaquin Delta, California, U.S.A.","docAbstract":"<p>We document characteristics of tephra, including facies and geochemistry, from 27 subsurface sites in the Sacramento-San Joaquin Delta, California, to obtain stratigraphic constraints in a complex setting. Analyzed discrete tephra deposits are correlative with: 1) an unnamed tephra from the Carlotta Formation near Ferndale, California, herein informally named the ash of Wildcat Grade (&lt;~1.450 - &gt;~0.780 Ma), 2) the Rockland ash bed (~0.575 Ma), 3) the Loleta ash bed (~0.390 Ma), and 4) a middle Pleistocene tephra resembling volcanic ash deposits at Tulelake, California, and Pringle Falls, Bend, and Summer Lake, Oregon, herein informally named the dacitic ash of Hood (&lt;~0.211 to &gt;~0.180 Ma, correlated age). All four tephra are derived from Cascades volcanic sources. The Rockland ash bed erupted from the southern Cascades near Lassen Peak, California, and occurs in deposits up to &gt;7 m thick as observed in core samples taken from ~40 m depth below land surface. Tephra facies and tephra age constraints suggest rapid tephra deposition within fluvial channel and overbank settings, likely related to flood events shortly following the volcanic eruption. Such rapidly deposited tephra are important chronostratigraphic markers that suggest varying sediment accumulation rates (~0.07-0.29 m/1000 yr) in Quaternary deposits below the modern Sacramento-San Joaquin Delta. This study provides the first steps in developing a subsurface Quaternary stratigraphic framework necessary for future hazard assessment.</p>","language":"English","publisher":"American Quaternary Association","publisherLocation":"New York, NY","doi":"10.1016/j.yqres.2014.12.007","usgsCitation":"Maier, K., Gatti, E., Wan, E., Ponti, D.J., Pagenkopp, M., Starratt, S.W., Olson, H.A., and Tinsley, J., 2015, Quaternary tephrochronology and deposition in the subsurface Sacramento–San Joaquin Delta, California, U.S.A.: Quaternary Research, v. 83, no. 2, p. 378-393, https://doi.org/10.1016/j.yqres.2014.12.007.","productDescription":"16 p.","startPage":"378","endPage":"393","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052550","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":300032,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.8771743774414,\n              38.012664749652494\n            ],\n            [\n              -121.8771743774414,\n              38.078365629967145\n            ],\n            [\n              -121.78070068359375,\n              38.078365629967145\n            ],\n            [\n              -121.78070068359375,\n              38.012664749652494\n            ],\n            [\n              -121.8771743774414,\n              38.012664749652494\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"83","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park 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Mark","contributorId":102802,"corporation":false,"usgs":true,"family":"Pagenkopp","given":"Mark","email":"","affiliations":[],"preferred":false,"id":546034,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":546035,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Olson, Holly A. holson@usgs.gov","contributorId":5305,"corporation":false,"usgs":true,"family":"Olson","given":"Holly","email":"holson@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science 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,{"id":70147094,"text":"70147094 - 2015 - Long‐term time‐dependent probabilities for the third Uniform California Earthquake Rupture Forecast (UCERF3)","interactions":[],"lastModifiedDate":"2015-04-28T09:15:02","indexId":"70147094","displayToPublicDate":"2015-03-01T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Long‐term time‐dependent probabilities for the third Uniform California Earthquake Rupture Forecast (UCERF3)","docAbstract":"<p>The 2014 Working Group on California Earthquake Probabilities (WGCEP 2014) presents time-dependent earthquake probabilities for the third Uniform California Earthquake Rupture Forecast (UCERF3). Building on the UCERF3 time-independent model, published previously, renewal models are utilized to represent elastic-rebound-implied probabilities. A new methodology has been developed that solves applicability issues in the previous approach for un-segmented models. The new methodology also supports magnitude-dependent aperiodicity and accounts for the historic open interval on faults that lack a date-of-last-event constraint. Epistemic uncertainties are represented with a logic tree, producing 5,760 different forecasts. Results for a variety of evaluation metrics are presented, including logic-tree sensitivity analyses and comparisons to the previous model (UCERF2). For 30-year M&ge;6.7 probabilities, the most significant changes from UCERF2 are a threefold increase on the Calaveras fault and a threefold decrease on the San Jacinto fault. Such changes are due mostly to differences in the time-independent models (e.g., fault slip rates), with relaxation of segmentation and inclusion of multi-fault ruptures being particularly influential. In fact, some UCERF2 faults were simply too long to produce M 6.7 sized events given the segmentation assumptions in that study. Probability model differences are also influential, with the implied gains (relative to a Poisson model) being generally higher in UCERF3. Accounting for the historic open interval is one reason. Another is an effective 27% increase in the total elastic-rebound-model weight. The exact factors influencing differences between UCERF2 and UCERF3, as well as the relative importance of logic-tree branches, vary throughout the region, and depend on the evaluation metric of interest. For example, M&ge;6.7 probabilities may not be a good proxy for other hazard or loss measures. This sensitivity, coupled with the approximate nature of the model and known limitations, means the applicability of UCERF3 should be evaluated on a case-by-case basis.</p>","language":"English","publisher":"Seismological Society of America","publisherLocation":"Stanford, CA","doi":"10.1785/0120140093","usgsCitation":"Field, E., Biasi, G.P., Bird, P., Dawson, T.E., Felzer, K.R., Jackson, D.A., Johnson, K.M., Jordan, T.H., Madden, C., Michael, A.J., Milner, K., Page, M.T., Parsons, T.E., Powers, P., Shaw, B., Thatcher, W.R., Weldon, R.J., and Zeng, Y., 2015, Long‐term time‐dependent probabilities for the third Uniform California Earthquake Rupture Forecast (UCERF3): Bulletin of the Seismological Society of America, v. 105, no. 2A, p. 511-543, https://doi.org/10.1785/0120140093.","productDescription":"33 p.","startPage":"511","endPage":"543","numberOfPages":"33","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061354","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":299910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"2A","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-10","publicationStatus":"PW","scienceBaseUri":"5540af2ce4b0a658d79392ad","contributors":{"authors":[{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":1165,"corporation":false,"usgs":true,"family":"Field","given":"Edward H.","email":"field@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":545633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biasi, Glenn P.","contributorId":20436,"corporation":false,"usgs":true,"family":"Biasi","given":"Glenn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":545634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bird, Peter","contributorId":78643,"corporation":false,"usgs":true,"family":"Bird","given":"Peter","affiliations":[],"preferred":false,"id":545635,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dawson, Timothy E.","contributorId":24429,"corporation":false,"usgs":false,"family":"Dawson","given":"Timothy","email":"","middleInitial":"E.","affiliations":[{"id":7099,"text":"Calif. Geol. Survey","active":true,"usgs":false}],"preferred":false,"id":545636,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Felzer, Karen R. kfelzer@usgs.gov","contributorId":2573,"corporation":false,"usgs":true,"family":"Felzer","given":"Karen","email":"kfelzer@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":545637,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jackson, David A.","contributorId":40906,"corporation":false,"usgs":true,"family":"Jackson","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":545638,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Kaj M.","contributorId":92526,"corporation":false,"usgs":true,"family":"Johnson","given":"Kaj","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":545639,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jordan, Thomas H.","contributorId":75055,"corporation":false,"usgs":true,"family":"Jordan","given":"Thomas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":545640,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Madden, Christopher","contributorId":47280,"corporation":false,"usgs":true,"family":"Madden","given":"Christopher","affiliations":[],"preferred":false,"id":545641,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":545642,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Milner, Kevin","contributorId":28886,"corporation":false,"usgs":true,"family":"Milner","given":"Kevin","affiliations":[],"preferred":false,"id":545643,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":545674,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":545675,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Powers, Peter","contributorId":92596,"corporation":false,"usgs":true,"family":"Powers","given":"Peter","affiliations":[],"preferred":false,"id":545676,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Shaw, Bruce E.","contributorId":93810,"corporation":false,"usgs":true,"family":"Shaw","given":"Bruce E.","affiliations":[],"preferred":false,"id":545677,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Thatcher, Wayne R. 0000-0001-6324-545X thatcher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-545X","contributorId":2599,"corporation":false,"usgs":true,"family":"Thatcher","given":"Wayne","email":"thatcher@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":545678,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Weldon, Ray J. II","contributorId":47859,"corporation":false,"usgs":true,"family":"Weldon","given":"Ray","suffix":"II","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":545679,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Zeng, Yuehua zeng@usgs.gov","contributorId":1623,"corporation":false,"usgs":true,"family":"Zeng","given":"Yuehua","email":"zeng@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":545680,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70135275,"text":"70135275 - 2015 - Mineral resource of the month: silver","interactions":[],"lastModifiedDate":"2015-05-20T09:00:03","indexId":"70135275","displayToPublicDate":"2015-03-01T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: silver","docAbstract":"<p>Silver, one of the eight precious or noble metals, has been used extensively throughout recorded history for various medical purposes, ornaments and utensils, and for its intrinsic value as the basis for trade and monetary systems. Silver has played a significant role in world history, financing a Greek victory over the Persians in 480 B.C., helping Spain become a world power in the 16th and 17th centuries, and helping fund the Union forces during the U.S. Civil War, to give a few examples.</p>\n<p>Silver occurs as a native metal; in sulfide ores of copper, lead and zinc; and sometimes with bismuth and antimony. Silver is always present in ores containing gold. The Silver Institute estimated that, in 2013, about 29 percent of global mined silver came from silver ores, 38 percent came from lead-zinc ores, 20 percent came from copper ores and 13 percent came from gold ores.</p>\n<p>Silver's properties include its ability to endure extreme temperatures, its high reflectance of light, its thermal and electrical conductivity (the highest of all metals), and its strength, malleability and ductility. Demand for silver arises from three areas: industrial applications (in electronics, brazing alloys and solders, photography and other uses), investment (including coins and bars), and silver jewelry and decor (including silverware).</p>\n<p>Silver-halide X-rays were long the standard, but are now being replaced by digital imaging technology. Since 2000, demand for silver in photographic applications has also declined owing to the use of digital photography. In 2013, uses in electronics accounted for 42 percent of U.S. silver consumption; coins and metals for 35 percent; photography for 13 percent; jewelry and silverware for 7 percent; and other uses for 3 percent.</p>\n<p>Silver is also used in solar power generation: 90 percent of crystalline silicon photovoltaic solar cells use silver paste. On windows, a transparent layer of silver reflects up to 95 percent of sunlight, saving energy. In water purification, use of silver eliminates the need for corrosive chlorine.</p>\n<p>For more information on silver and other mineral resources, visit: <a href=\"http://minerals.usgs.gov/minerals\" target=\"_blank\">http://minerals.usgs.gov/minerals</a>.</p>","language":"English","publisher":"American Geological Institute","publisherLocation":"Alexandria, VA","usgsCitation":"Katrivanos, F.C., 2015, Mineral resource of the month: silver: Earth, v. 60, no. 3, p. 53-53.","productDescription":"1 p.","startPage":"53","endPage":"53","numberOfPages":"1","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061694","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":300596,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthmagazine.org/article/mineral-resource-month-silver"},{"id":300597,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"555db054e4b0a92fa7eb831a","contributors":{"authors":[{"text":"Katrivanos, Florence C. fkatrivanos@usgs.gov","contributorId":2109,"corporation":false,"usgs":true,"family":"Katrivanos","given":"Florence","email":"fkatrivanos@usgs.gov","middleInitial":"C.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":527006,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70148074,"text":"70148074 - 2015 - Small mammal use of native warm-season and non-native cool-season grass forage fields","interactions":[],"lastModifiedDate":"2015-05-19T08:55:50","indexId":"70148074","displayToPublicDate":"2015-03-01T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Small mammal use of native warm-season and non-native cool-season grass forage fields","docAbstract":"<p>Recent emphasis has been put on establishing native warm-season grasses for forage production because it is thought native warm-season grasses provide higher quality wildlife habitat than do non-native cool-season grasses. However, it is not clear whether native warm-season grass fields provide better resources for small mammals than currently are available in non-native cool-season grass forage production fields. We developed a hierarchical spatially explicit capture-recapture model to compare abundance of hispid cotton rats (<i>Sigmodon hispidus</i>), white-footed mice (<i>Peromyscus leucopus</i>), and house mice (<i>Mus musculus</i>) among 4 hayed non-native cool-season grass fields, 4 hayed native warm-season grass fields, and 4 native warm-season grass-forb (\"wildlife\") fields managed for wildlife during 2 summer trapping periods in 2009 and 2010 of the western piedmont of North Carolina, USA. Cotton rat abundance estimates were greater in wildlife fields than in native warm-season grass and non-native cool-season grass fields and greater in native warm-season grass fields than in non-native cool-season grass fields. Abundances of white-footed mouse and house mouse populations were lower in wildlife fields than in native warm-season grass and non-native cool-season grass fields, but the abundances were not different between the native warm-season grass and non-native cool-season grass fields. Lack of cover following haying in non-native cool-season grass and native warm-season grass fields likely was the key factor limiting small mammal abundance, especially cotton rats, in forage fields. Retention of vegetation structure in managed forage production systems, either by alternately resting cool-season and warm-season grass forage fields or by leaving unharvested field borders, should provide refugia for small mammals during haying events.</p>","language":"English","publisher":"Wildlife Society","publisherLocation":"Washington, D.C.","doi":"10.1002/wsb.507","usgsCitation":"Klimstra, R.L., Moorman, C.E., Converse, S.J., Royle, J.A., and Harper, C.A., 2015, Small mammal use of native warm-season and non-native cool-season grass forage fields: Wildlife Society Bulletin, v. 39, no. 1, p. 49-55, https://doi.org/10.1002/wsb.507.","productDescription":"7 p.","startPage":"49","endPage":"55","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056857","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":499977,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/3aba7bcedd5e4df68ec830015a2dc12a","text":"External Repository"},{"id":300527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-04","publicationStatus":"PW","scienceBaseUri":"555c5eb9e4b0a92fa7eacc0e","contributors":{"authors":[{"text":"Klimstra, Ryan L","contributorId":140840,"corporation":false,"usgs":false,"family":"Klimstra","given":"Ryan","email":"","middleInitial":"L","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":547170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moorman, Christopher E.","contributorId":140839,"corporation":false,"usgs":false,"family":"Moorman","given":"Christopher","email":"","middleInitial":"E.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":547169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":3513,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":547168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":139626,"corporation":false,"usgs":true,"family":"Royle","given":"J.","email":"aroyle@usgs.gov","middleInitial":"Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":547171,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harper, Craig A","contributorId":140841,"corporation":false,"usgs":false,"family":"Harper","given":"Craig","email":"","middleInitial":"A","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":547172,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70156234,"text":"70156234 - 2015 - Equation-free modeling unravels the behavior of complex ecological systems","interactions":[],"lastModifiedDate":"2015-08-19T10:55:00","indexId":"70156234","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Equation-free modeling unravels the behavior of complex ecological systems","docAbstract":"<p>Ye et al. (1) address a critical problem confronting the management of natural ecosystems: How can we make forecasts of possible future changes in populations to help guide management actions? This problem is especially acute for marine and anadromous fisheries, where the large interannual fluctuations of populations, arising from complex nonlinear interactions among species and with varying environmental factors, have defied prediction over even short time scales. The empirical dynamic modeling (EDM) described in Ye et al.&rsquo;s report, the latest in a series of papers by Sugihara and his colleagues, offers a promising quantitative approach to building models using time series to successfully project dynamics into the future. With the term &ldquo;equation-free&rdquo; in the article title, Ye et al. (1) are suggesting broader implications of their approach, considering the centrality of equations in modern science. From the 1700s on, nature has been increasingly described by mathematical equations, with differential or difference equations forming the basic framework for describing dynamics. The use of mathematical equations for ecological systems came much later, pioneered by Lotka and Volterra, who showed that population cycles might be described in terms of simple coupled nonlinear differential equations. It took decades for Lotka&ndash;Volterra-type models to become established, but the development of appropriate differential equations is now routine in modeling ecological dynamics. There is no question that the injection of mathematical equations, by forcing &ldquo;clarity and precision into conjecture&rdquo; (2), has led to increased understanding of population and community dynamics. As in science in general, in ecology equations are a key method of communication and of framing hypotheses. These equations serve as compact representations of an enormous amount of empirical data and can be analyzed by the powerful methods of mathematics.</p>","language":"English","publisher":"National Academy of Sciences of the United States of America","doi":"10.1073/pnas.1503154112","usgsCitation":"DeAngelis, D., and Yurek, S., 2015, Equation-free modeling unravels the behavior of complex ecological systems: PNAS, v. 112, no. 13, p. 3856-3857, https://doi.org/10.1073/pnas.1503154112.","productDescription":"2 p.","startPage":"3856","endPage":"3857","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063709","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":472255,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1503154112","text":"Publisher Index Page"},{"id":306924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"13","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-17","publicationStatus":"PW","scienceBaseUri":"55d5a8afe4b0518e3546a4be","chorus":{"doi":"10.1073/pnas.1503154112","url":"http://dx.doi.org/10.1073/pnas.1503154112","publisher":"Proceedings of the National Academy of Sciences","authors":"DeAngelis Donald L., Yurek Simeon","journalName":"Proceedings of the National Academy of Sciences","publicationDate":"3/17/2015"},"contributors":{"authors":[{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":138934,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","email":"don_deangelis@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":568114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yurek, Simeon 0000-0002-6209-7915 syurek@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":103167,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","email":"syurek@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":568568,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70156703,"text":"70156703 - 2015 - Bidirectional recovery patterns of Mojave Desert vegetation in an aqueduct pipeline corridor after 36 years: I. Perennial shrubs and grasses","interactions":[],"lastModifiedDate":"2015-10-19T12:25:14","indexId":"70156703","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Bidirectional recovery patterns of Mojave Desert vegetation in an aqueduct pipeline corridor after 36 years: I. Perennial shrubs and grasses","docAbstract":"<p><span>We studied recovery of 21 perennial plant species along a severely disturbed aqueduct corridor in a&nbsp;</span><i>Larrea tridentata</i><span>-</span><i>Ambrosia dumosa</i><span>&nbsp;plant alliance in the Mojave Desert 36 years after construction. The 97-m wide corridor contained a central dirt road and buried aqueduct pipeline. We established transects at 0&nbsp;m (road verge), 20&nbsp;m and 40&nbsp;m into the disturbance corridor, and at 100&nbsp;m in undisturbed habitat (the control). Although total numbers of shrubs per transect did not vary significantly with distance from the verge, canopy cover of shrubs, species richness, and species diversity were higher in the control than at the verge and other distances. Canopy cover of common shrubs (</span><i>Ericameria nauseosa, Ambrosia salsola, A. dumosa, L. tridentata, Grayia spinosa</i><span>) and perennial grasses (</span><i>Elymus elymoides, Poa secunda</i><span>) also varied significantly by location. Discriminant analysis clearly separated the four distances based on plant composition. Patterns of recovery were bidirectional: secondary succession from the control into the disturbance corridor and inhibition from the verge in the direction of the control. Time estimated for species composition to resemble the control is dependent on location within the disturbance corridor and could be centuries at the road verge. Our findings have applications to other deserts.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2015.03.004","usgsCitation":"Berry, K.H., Weigand, J.F., Gowan, T.A., and Mack, J.S., 2015, Bidirectional recovery patterns of Mojave Desert vegetation in an aqueduct pipeline corridor after 36 years: I. Perennial shrubs and grasses: Journal of Arid Environments, v. 124, p. 413-425, https://doi.org/10.1016/j.jaridenv.2015.03.004.","productDescription":"13 p.","startPage":"413","endPage":"425","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024999","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488368,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jaridenv.2015.03.004","text":"Publisher Index Page"},{"id":307720,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Los Angeles aqueduct, Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.88305664062499,\n              33.47727218776036\n            ],\n            [\n              -118.88305664062499,\n              34.49750272138159\n            ],\n            [\n              -117.158203125,\n              34.49750272138159\n            ],\n            [\n              -117.158203125,\n              33.47727218776036\n            ],\n            [\n              -118.88305664062499,\n              33.47727218776036\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"124","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e57aabe4b05561fa208681","chorus":{"doi":"10.1016/j.jaridenv.2015.03.004","url":"http://dx.doi.org/10.1016/j.jaridenv.2015.03.004","publisher":"Elsevier BV","authors":"Berry Kristin H., Weigand James F., Gowan Timothy A., Mack Jeremy S.","journalName":"Journal of Arid Environments","publicationDate":"1/2016","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Berry, Kristin H. 0000-0003-1591-8394 kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":570158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weigand, James F.","contributorId":145871,"corporation":false,"usgs":false,"family":"Weigand","given":"James","email":"","middleInitial":"F.","affiliations":[{"id":16275,"text":"BLM, Sacramento, CA","active":true,"usgs":false}],"preferred":false,"id":570159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gowan, Timothy A.","contributorId":138595,"corporation":false,"usgs":false,"family":"Gowan","given":"Timothy","email":"","middleInitial":"A.","affiliations":[{"id":12456,"text":"former USGS scientist","active":true,"usgs":false}],"preferred":false,"id":570160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mack, Jeremy S. jmack@usgs.gov","contributorId":3851,"corporation":false,"usgs":true,"family":"Mack","given":"Jeremy","email":"jmack@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":570161,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70155113,"text":"70155113 - 2015 - Identifying the location and population served by domestic wells in California","interactions":[],"lastModifiedDate":"2015-08-05T13:10:48","indexId":"70155113","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Identifying the location and population served by domestic wells in California","docAbstract":"<h4 id=\"absSec_1\">Study region</h4>\n<p id=\"spar0005\">California, USA.</p>\n<h4 id=\"absSec_2\">Study focus</h4>\n<p id=\"spar0010\">Identification of groundwater use is an important step in the regional-scale assessment of groundwater quality. In California, 1990 US Census data indicate that domestic wells provide drinking-water to about 1.2 million people. However, the location of these domestic well users of groundwater is poorly identified because the census tracts can be quite large (up to 20,000&nbsp;km<sup>2</sup>). The purposes of this paper are to present methods used for (1) estimating the location of domestic wells, (2) estimating the location of households using domestic well water; and (3) identifying where in California groundwater is an important source of domestic drinking supply.</p>\n<h4 id=\"absSec_3\">New hydrological insights for the region</h4>\n<p id=\"spar0015\">Aggregating the results indicates that three hydrogeologic provinces contain nearly 80% of all domestic wells and also have the highest density of domestic well users: Central Valley (31.6%), Sierra Nevada (31.5%), and Northern Coast Ranges (16.6%). Results were also aggregated into groundwater basins and highland areas, collectively called Groundwater Units (GUs). Twenty-eight of the 938 GUs contain more than 50% of the total population served by domestic wells, 70 GUs contain more than 75%, and 150 GUs contain 90%. The 28 GUs are mostly located in the eastern and southern San Joaquin Valley (11), the Sacramento Valley (7), and the western foothills of the Sierra Nevada province (5). Using the information presented in this research along with other information about domestic-well use, the US Geological Survey has begun sampling high-use GUs for the Shallow Aquifer Assessment component of the Groundwater Ambient Assessment (GAMA) program.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2014.09.002","usgsCitation":"Johnson, T.D., and Belitz, K., 2015, Identifying the location and population served by domestic wells in California: Journal of Hydrology: Regional Studies, v. 3, p. 31-86, https://doi.org/10.1016/j.ejrh.2014.09.002.","productDescription":"56 p.","startPage":"31","endPage":"86","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055416","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":472243,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2014.09.002","text":"Publisher Index 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,{"id":70154890,"text":"70154890 - 2015 - Using an experimental manipulation to determine the effectiveness of a stock enhancement program","interactions":[],"lastModifiedDate":"2015-09-16T09:56:26","indexId":"70154890","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3897,"text":"Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Using an experimental manipulation to determine the effectiveness of a stock enhancement program","docAbstract":"<p><span>We used an experimental manipulation to determine the impact of stocking 178 mm channel catfish&nbsp;</span><i>Ictalurus punctatus</i><span>&nbsp;in six impoundments. The study design consisted of equal numbers (two) of control, ceased-stock, and stocked treatments that were sampled one year before and two years after stocking. Relative abundance, growth, size structure, and average weight significantly changed over time based on samples collected with hoop nets. Catch rates decreased at both ceased-stock lakes and increased for one stocked lake, while growth rates changed for at least one ceased-stock and stocked lake. The average weight of channel catfish in the ceased-stock treatment increased by 6% and 25%, whereas weight decreased by 28% and 78% in both stocked lakes. The variability in observed responses between lakes in both ceased-stock and stocked treatments indicates that a one-size-fits-all stocking agenda is impractical, suggesting lake specific and density-dependent mechanisms affect channel catfish population dynamics.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2015.1021715","usgsCitation":"Stewart, D., and Long, J.M., 2015, Using an experimental manipulation to determine the effectiveness of a stock enhancement program: Freshwater Ecology, https://doi.org/10.1080/02705060.2015.1021715.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056629","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":472256,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2015.1021715","text":"Publisher Index Page"},{"id":308165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-18","publicationStatus":"PW","scienceBaseUri":"55fa92d6e4b05d6c4e501ae6","contributors":{"authors":[{"text":"Stewart, David R.","contributorId":141323,"corporation":false,"usgs":false,"family":"Stewart","given":"David R.","affiliations":[],"preferred":false,"id":572466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564317,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70148611,"text":"70148611 - 2015 - In situ effects of pesticides on amphibians in the Sierra Nevada","interactions":[],"lastModifiedDate":"2015-06-26T13:13:13","indexId":"70148611","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"In situ effects of pesticides on amphibians in the Sierra Nevada","docAbstract":"<p><span>For more than 20&nbsp;years, conservationists have agreed that amphibian populations around the world are declining. Results obtained through laboratory or mesocosm studies and measurement of contaminant concentrations in areas experiencing declines have supported a role of contaminants in these declines. The current study examines the effects of contaminant exposure to amphibians in situ in areas actually experiencing declines. Early larval&nbsp;</span><i class=\"EmphasisTypeItalic\">Pseudacris regilla</i><span>&nbsp;were translocated among Lassen Volcanic, Yosemite and Sequoia National Parks, California, USA and caged in wetlands in 2001 and 2002 until metamorphosis. Twenty contaminants were identified in tadpoles with an average of 1.3&ndash;5.9 (maximum&nbsp;=&nbsp;10) contaminants per animal. Sequoia National Park, which had the greatest variety and concentrations of contaminants in 2001, also had tadpoles that experienced the greatest mortality, slowest developmental rates and lowest cholinesterase activities. Yosemite and Sequoia tadpoles and metamorphs had greater genotoxicity than those in Lassen during 2001, as determined by flow cytometry. In 2001 tadpoles at Yosemite had a significantly higher rate of malformations, characterized as hemimelia (shortened femurs), than those at the other two parks but no significant differences were observed in 2002. Fewer differences in contaminant types and concentrations existed among parks during 2002 compared to 2001. In 2002 Sequoia tadpoles had higher mortality and slower developmental rates but there was no difference among parks in cholinesterase activities. Although concentrations of most contaminants were below known lethal concentrations, simultaneous exposure to multiple chemicals and other stressors may have resulted in lethal and sublethal effects.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10646-014-1375-7","usgsCitation":"Sparling, D.W., Bickham, J.W., Cowman, D., Fellers, G.M., Lacher, T., Matson, C., and McConnell, L., 2015, In situ effects of pesticides on amphibians in the Sierra Nevada: Ecotoxicology, v. 24, no. 2, p. 262-278, https://doi.org/10.1007/s10646-014-1375-7.","productDescription":"17 p.","startPage":"262","endPage":"278","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031394","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":302569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Lassen Volcanic, Yosemite, and Sequoia National Parks","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.6351318359375,\n              40.347590756726525\n            ],\n            [\n              -121.6351318359375,\n              40.60769725157612\n            ],\n            [\n              -121.18881225585938,\n              40.60769725157612\n            ],\n            [\n              -121.18881225585938,\n              40.347590756726525\n            ],\n            [\n              -121.6351318359375,\n              40.347590756726525\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.91577148437499,\n              37.461778479617465\n            ],\n            [\n              -119.91577148437499,\n              38.14751758025121\n            ],\n            [\n              -119.11926269531249,\n              38.14751758025121\n            ],\n            [\n              -119.11926269531249,\n              37.461778479617465\n            ],\n            [\n              -119.91577148437499,\n              37.461778479617465\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.1412353515625,\n              36.17779108329074\n            ],\n            [\n              -119.1412353515625,\n              36.760891249565624\n            ],\n            [\n              -118.14697265625,\n              36.760891249565624\n            ],\n            [\n              -118.14697265625,\n              36.17779108329074\n            ],\n            [\n              -119.1412353515625,\n              36.17779108329074\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"24","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-09","publicationStatus":"PW","scienceBaseUri":"558e77b7e4b0b6d21dd6595f","contributors":{"authors":[{"text":"Sparling, Donald W.","contributorId":7220,"corporation":false,"usgs":true,"family":"Sparling","given":"Donald","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":548880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bickham, John W.","contributorId":56184,"corporation":false,"usgs":true,"family":"Bickham","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":548881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cowman, Deborah","contributorId":141221,"corporation":false,"usgs":false,"family":"Cowman","given":"Deborah","email":"","affiliations":[{"id":13715,"text":"Brazos Natural History Museum; U.S. Geological Survey, Patuxent Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":548882,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fellers, Gary M. 0000-0003-4092-0285 gary_fellers@usgs.gov","orcid":"https://orcid.org/0000-0003-4092-0285","contributorId":3150,"corporation":false,"usgs":true,"family":"Fellers","given":"Gary","email":"gary_fellers@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548879,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lacher, Thomas E. Jr.","contributorId":28540,"corporation":false,"usgs":true,"family":"Lacher","given":"Thomas E.","suffix":"Jr.","affiliations":[],"preferred":false,"id":548883,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Matson, Cole W.","contributorId":141222,"corporation":false,"usgs":false,"family":"Matson","given":"Cole W.","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":548884,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McConnell, Laura","contributorId":57411,"corporation":false,"usgs":true,"family":"McConnell","given":"Laura","affiliations":[],"preferred":false,"id":548885,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70156880,"text":"70156880 - 2015 - Proposed best modeling practices for assessing the effects of ecosystem restoration on fish","interactions":[],"lastModifiedDate":"2019-07-25T15:05:22","indexId":"70156880","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Proposed best modeling practices for assessing the effects of ecosystem restoration on fish","docAbstract":"<p><span>Large-scale aquatic ecosystem restoration is increasing and is often controversial because of the economic costs involved, with the focus of the controversies gravitating to the modeling of fish responses. We present a scheme for best practices in selecting, implementing, interpreting, and reporting of fish modeling designed to assess the effects of restoration actions on fish populations and aquatic food webs. Previous best practice schemes that tended to be more general are summarized, and they form the foundation for our scheme that is specifically tailored for fish and restoration. We then present a 31-step scheme, with supporting text and narrative for each step, which goes from understanding how the results will be used through post-auditing to ensure the approach is used effectively in subsequent applications. We also describe 13 concepts that need to be considered in parallel to these best practice steps. Examples of these concepts include: life cycles and strategies; variability and uncertainty; nonequilibrium theory; biological, temporal, and spatial scaling; explicit versus implicit representation of processes; and model validation. These concepts are often not considered or not explicitly stated and casual treatment of them leads to mis-communication and mis-understandings, which in turn, often underlie the resulting controversies. We illustrate a subset of these steps, and their associated concepts, using the three case studies of Glen Canyon Dam on the Colorado River, the wetlands of coastal Louisiana, and the Everglades. Use of our proposed scheme will require investment of additional time and effort (and dollars) to be done effectively. We argue that such an investment is well worth it and will more than pay back in the long run in effective and efficient restoration actions and likely avoided controversies and legal proceedings.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2014.12.020","usgsCitation":"Rose, K.A., Sable, S., DeAngelis, D.L., Yurek, S., Trexler, J.C., Graf, W.L., and Reed, D.J., 2015, Proposed best modeling practices for assessing the effects of ecosystem restoration on fish: Ecological Modelling, v. 300, p. 12-29, https://doi.org/10.1016/j.ecolmodel.2014.12.020.","productDescription":"18 p.","startPage":"12","endPage":"29","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059726","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":307783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"300","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e6cc37e4b05561fa20a026","contributors":{"authors":[{"text":"Rose, Kenneth A","contributorId":147274,"corporation":false,"usgs":false,"family":"Rose","given":"Kenneth","email":"","middleInitial":"A","affiliations":[{"id":16815,"text":"Dept. of Oceanography and Coastal Sciences, Louisiana State University, Baton Rouge","active":true,"usgs":false}],"preferred":false,"id":570954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sable, Shaye","contributorId":147275,"corporation":false,"usgs":false,"family":"Sable","given":"Shaye","affiliations":[{"id":16816,"text":"Dynamic Solutions, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":570955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":147273,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":570953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yurek, Simeon 0000-0002-6209-7915 syurek@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":103167,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","email":"syurek@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":570956,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trexler, Joel C.","contributorId":36267,"corporation":false,"usgs":false,"family":"Trexler","given":"Joel","email":"","middleInitial":"C.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":570957,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graf, William L.","contributorId":92415,"corporation":false,"usgs":true,"family":"Graf","given":"William","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":570958,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reed, Denise J.","contributorId":71903,"corporation":false,"usgs":true,"family":"Reed","given":"Denise","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":570959,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70148597,"text":"70148597 - 2015 - The Red Atrapa Sismos (Quake Catcher Network in Mexico): assessing performance during large and damaging earthquakes.","interactions":[],"lastModifiedDate":"2015-06-26T12:39:02","indexId":"70148597","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"The Red Atrapa Sismos (Quake Catcher Network in Mexico): assessing performance during large and damaging earthquakes.","docAbstract":"<p id=\"p-1\">The Quake‐Catcher Network (QCN) is an expanding seismic array made possible by thousands of participants who volunteered time and resources from their computers to record seismic data using low‐cost accelerometers (http://qcn.stanford.edu/; last accessed December 2014). Sensors based on Micro‐Electromechanical Systems (MEMS) technology have rapidly improved over the last few years due to the demand of the private sector (e.g., automobiles, cell phones, and laptops). For strong‐motion applications, low‐cost MEMS accelerometers have promising features due to an increasing resolution and near‐linear phase and amplitude response (<span class=\"xref-bibr\">Cochran, Lawrence, Christensen, and Jakka, 2009</span>;&nbsp;<span class=\"xref-bibr\">Clayton&nbsp;<i>et&nbsp;al.</i>, 2011</span>;&nbsp;<span class=\"xref-bibr\">Evans&nbsp;<i>et&nbsp;al.</i>, 2014</span>).</p>\n<p id=\"p-2\">Each volunteer computer monitors ground motion and communicates using the Berkeley Open Infrastructure for Network Computing (BOINC,&nbsp;<span class=\"xref-bibr\">Anderson, 2004</span>). Using a standard short‐term average, long‐term average (STLA) algorithm (<span class=\"xref-bibr\">Earle and Shearer, 1994</span>;&nbsp;<span class=\"xref-bibr\">Cochran, Lawrence, Christensen, Chung, 2009</span>;&nbsp;<span class=\"xref-bibr\">Cochran, Lawrence, Christensen, and Jakka, 2009</span>), volunteer computer and sensor systems detect abrupt changes in the acceleration recordings. Each time a possible trigger signal is declared, a small package of information containing sensor and ground‐motion information is streamed to one of the QCN servers (<span class=\"xref-bibr\">Chung&nbsp;<i>et&nbsp;al.</i>, 2011</span>). Trigger signals, correlated in space and time, are then processed by the QCN server to look for potential earthquakes.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220140171","usgsCitation":"Dominguez, L.A., Yildirim, B., Husker, A.L., Cochran, E.S., Christensen, C., and Cruz-Atienza, V., 2015, The Red Atrapa Sismos (Quake Catcher Network in Mexico): assessing performance during large and damaging earthquakes.: Seismological Research Letters, v. 86, no. 3, p. 848-855, https://doi.org/10.1785/0220140171.","productDescription":"8 p.","startPage":"848","endPage":"855","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059988","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":472248,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20210518-133755918","text":"External Repository"},{"id":302510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-97.14001,25.87],[-97.52807,24.99214],[-97.70295,24.27234],[-97.77604,22.93258],[-97.87237,22.44421],[-97.69904,21.89869],[-97.38896,21.41102],[-97.18933,20.63543],[-96.52558,19.89093],[-96.29213,19.32037],[-95.90088,18.82802],[-94.83906,18.56272],[-94.42573,18.14437],[-93.54865,18.42384],[-92.78611,18.52484],[-92.03735,18.70457],[-91.4079,18.87608],[-90.77187,19.28412],[-90.53359,19.86742],[-90.45148,20.70752],[-90.27862,20.99986],[-89.60132,21.26173],[-88.54387,21.49368],[-87.65842,21.45885],[-87.05189,21.54354],[-86.81198,21.33151],[-86.84591,20.84986],[-87.38329,20.2554],[-87.62105,19.64655],[-87.43675,19.4724],[-87.58656,19.04013],[-87.83719,18.25982],[-88.09066,18.51665],[-88.30003,18.49998],[-88.49012,18.48683],[-88.84834,17.8832],[-89.02986,18.00151],[-89.15091,17.95547],[-89.14308,17.80832],[-90.06793,17.81933],[-91.00152,17.81759],[-91.00227,17.25466],[-91.45392,17.25218],[-91.08167,16.91848],[-90.71182,16.68748],[-90.60085,16.47078],[-90.43887,16.41011],[-90.46447,16.06956],[-91.74796,16.06656],[-92.22925,15.25145],[-92.08722,15.06458],[-92.20323,14.8301],[-92.22775,14.53883],[-93.35946,15.61543],[-93.87517,15.94016],[-94.69166,16.20098],[-95.25023,16.12832],[-96.05338,15.75209],[-96.55743,15.65352],[-97.26359,15.91706],[-98.01303,16.10731],[-98.94768,16.56604],[-99.6974,16.70616],[-100.8295,17.17107],[-101.66609,17.64903],[-101.91853,17.91609],[-102.47813,17.97575],[-103.50099,18.29229],[-103.91753,18.74857],[-104.99201,19.31613],[-105.49304,19.94677],[-105.7314,20.4341],[-105.39777,20.53172],[-105.50066,20.8169],[-105.27075,21.07628],[-105.26582,21.4221],[-105.60316,21.87115],[-105.69341,22.26908],[-106.02872,22.77375],[-106.90998,23.76777],[-107.91545,24.54892],[-108.4019,25.17231],[-109.2602,25.58061],[-109.44409,25.82488],[-109.29164,26.44293],[-109.80146,26.67618],[-110.39173,27.16211],[-110.64102,27.85988],[-111.17892,27.94124],[-111.75961,28.46795],[-112.22823,28.95441],[-112.27182,29.26684],[-112.80959,30.02111],[-113.16381,30.78688],[-113.14867,31.17097],[-113.87188,31.56761],[-114.20574,31.52405],[-114.77645,31.79953],[-114.9367,31.39348],[-114.77123,30.91362],[-114.6739,30.16268],[-114.33097,29.75043],[-113.58888,29.06161],[-113.42405,28.82617],[-113.27197,28.75478],[-113.14004,28.41129],[-112.9623,28.42519],[-112.76159,27.78022],[-112.45791,27.52581],[-112.24495,27.17173],[-111.61649,26.66282],[-111.28467,25.73259],[-110.98782,25.29461],[-110.71001,24.826],[-110.65505,24.29859],[-110.17286,24.26555],[-109.77185,23.81118],[-109.4091,23.36467],[-109.43339,23.18559],[-109.85422,22.81827],[-110.03139,22.82308],[-110.29507,23.43097],[-110.9495,24.00096],[-111.67057,24.48442],[-112.18204,24.73841],[-112.14899,25.47013],[-112.30071,26.012],[-112.7773,26.32196],[-113.46467,26.76819],[-113.59673,26.63946],[-113.84894,26.90006],[-114.46575,27.14209],[-115.05514,27.72273],[-114.98225,27.7982],[-114.57037,27.74149],[-114.19933,28.115],[-114.16202,28.56611],[-114.93184,29.27948],[-115.51865,29.55636],[-115.88737,30.18079],[-116.25835,30.83646],[-116.72153,31.63574],[-117.12776,32.53534],[-115.99135,32.61239],[-114.72139,32.72083],[-114.815,32.52528],[-113.30498,32.03914],[-111.02361,31.33472],[-109.035,31.34194],[-108.24194,31.34222],[-108.24,31.75485],[-106.50759,31.75452],[-106.1429,31.39995],[-105.63159,31.08383],[-105.03737,30.64402],[-104.70575,30.12173],[-104.45697,29.57196],[-103.94,29.27],[-103.11,28.97],[-102.48,29.76],[-101.6624,29.7793],[-100.9576,29.38071],[-100.45584,28.69612],[-100.11,28.11],[-99.52,27.54],[-99.3,26.84],[-99.02,26.37],[-98.24,26.06],[-97.53,25.84],[-97.14001,25.87]]]},\"properties\":{\"name\":\"Mexico\"}}]}","volume":"86","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo 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,{"id":70154798,"text":"70154798 - 2015 - Monitoring and modeling wetland chloride concentrations in relationship to oil and gas development","interactions":[],"lastModifiedDate":"2018-01-05T10:03:54","indexId":"70154798","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring and modeling wetland chloride concentrations in relationship to oil and gas development","docAbstract":"<p><span>Extraction of oil and gas via unconventional methods is becoming an important aspect of energy production worldwide. Studying the effects of this development in countries where these technologies are being widely used may provide other countries, where development may be proposed, with some insight in terms of concerns associated with development. A fairly recent expansion of unconventional oil and gas development in North America provides such an opportunity. Rapid increases in energy development in North America have caught the attention of managers and scientists as a potential stressor for wildlife and their habitats. Of particular concern in the Northern Great Plains of the U.S. is the potential for chloride-rich produced water associated with unconventional oil and gas development to alter the water chemistry of wetlands. We describe a landscape scale modeling approach designed to examine the relationship between potential chloride contamination in wetlands and patterns of oil and gas development. We used a spatial Bayesian hierarchical modeling approach to assess multiple models explaining chloride concentrations in wetlands. These models included effects related to oil and gas wells (e.g. age of wells, number of wells) and surficial geology (e.g. glacial till, outwash). We found that the model containing the number of wells and the surficial geology surrounding a wetland best explained variation in chloride concentrations. Our spatial predictions showed regions of localized high chloride concentrations. Given the spatiotemporal variability of regional wetland water chemistry, we do not regard our results as predictions of contamination, but rather as a way to identify locations that may require more intensive sampling or further investigation. We suggest that an approach like the one outlined here could easily be extended to more of an adaptive monitoring approach to answer questions about chloride contamination risk that are of interest to managers.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2014.10.028","usgsCitation":"Post van der Burg, M., and Tangen, B., 2015, Monitoring and modeling wetland chloride concentrations in relationship to oil and gas development: Journal of Environmental Management, v. 150, p. 120-127, https://doi.org/10.1016/j.jenvman.2014.10.028.","productDescription":"8 p.","startPage":"120","endPage":"127","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057019","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":306644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota","county":"Bottineau County, Burke County, Daniels County, Divide County, McHenry County, Mountrail County, Renville County, Roosevelt County, Sheridan County (MO), Sheridan County (ND), Ward County, Williams County","otherGeospatial":"Bakken Formation, Williston Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.00732421875,\n              48.06339653776211\n            ],\n            [\n              -105.00732421875,\n              48.980216985374994\n            ],\n            [\n              -100.94238281249999,\n              48.980216985374994\n            ],\n            [\n              -100.94238281249999,\n              48.06339653776211\n            ],\n            [\n              -105.00732421875,\n              48.06339653776211\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"150","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55cdbfb9e4b08400b1fe1419","chorus":{"doi":"10.1016/j.jenvman.2014.10.028","url":"http://dx.doi.org/10.1016/j.jenvman.2014.10.028","publisher":"Elsevier BV","authors":"Post van der Burg Max, Tangen Brian A.","journalName":"Journal of Environmental Management","publicationDate":"3/2015","auditedOn":"1/5/2015"},"contributors":{"authors":[{"text":"Post van der Burg, Max 0000-0002-3943-4194 maxpostvanderburg@usgs.gov","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":4947,"corporation":false,"usgs":true,"family":"Post van der Burg","given":"Max","email":"maxpostvanderburg@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":564194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tangen, Brian A. 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":467,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian A.","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":564195,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70154774,"text":"70154774 - 2015 - Turbidity, light, temperature, and hydropeaking control primary productivity in the Colorado River, Grand Canyon","interactions":[],"lastModifiedDate":"2022-11-14T17:37:39.358873","indexId":"70154774","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Turbidity, light, temperature, and hydropeaking control primary productivity in the Colorado River, Grand Canyon","docAbstract":"<p><span>Dams and river regulation greatly alter the downstream environment for gross primary production (GPP) because of changes in water clarity, flow, and temperature regimes. We estimated reach-scale GPP in five locations of the regulated Colorado River in Grand Canyon using an open channel model of dissolved oxygen. Benthic GPP dominates in Grand Canyon due to fast transport times and low pelagic algal biomass. In one location, we used a 738 days time series of GPP to identify the relative contribution of different physical controls of GPP. We developed both linear and semimechanistic time series models that account for unmeasured temporal covariance due to factors such as algal biomass dynamics. GPP varied from 0 g O</span><sub>2</sub><span>&nbsp;m</span><sup>−2</sup><span>&nbsp;d</span><sup>−1</sup><span>&nbsp;to 3.0 g O</span><sub>2</sub><span>&nbsp;m</span><sup>−2</sup><span>&nbsp;d</span><sup>−1</sup><span>&nbsp;with a relatively low annual average of 0.8 g O</span><sub>2</sub><span>&nbsp;m</span><sup>−2</sup><span>&nbsp;d</span><sup>−1</sup><span>. Semimechanistic models fit the data better than linear models and demonstrated that variation in turbidity primarily controlled GPP. Lower solar insolation during winter and from cloud cover lowered GPP much further. Hydropeaking lowered GPP but only during turbid conditions. Using the best model and parameter values, the model accurately predicted seasonal estimates of GPP at 3 of 4 upriver sites and outperformed the linear model at all sites; discrepancies were likely from higher algal biomass at upstream sites. This modeling approach can predict how changes in physical controls will affect relative rates of GPP throughout the 385 km segment of the Colorado River in Grand Canyon and can be easily applied to other streams and rivers.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/lno.10031","usgsCitation":"Hall, R., Yackulic, C.B., Kennedy, T., Yard, M., Rosi-Marshall, E.J., Voichick, N., and Behn, K.E., 2015, Turbidity, light, temperature, and hydropeaking control primary productivity in the Colorado River, Grand Canyon: Limnology and Oceanography, v. 60, no. 2, p. 512-516, https://doi.org/10.1002/lno.10031.","productDescription":"5 p.","startPage":"512","endPage":"516","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056074","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":472242,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10031","text":"Publisher Index Page"},{"id":306634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.97690643788997,\n              35.96223553892966\n            ],\n            [\n              -111.95607071326728,\n              36.15089215745617\n            ],\n            [\n              -112.47488025637692,\n              36.439732993660684\n            ],\n            [\n              -113.00202408933613,\n              36.35587791388548\n            ],\n            [\n              -113.62917940048527,\n              35.88968479994075\n            ],\n            [\n              -113.53125149475788,\n              35.705479139380046\n            ],\n            [\n              -113.28747351666969,\n              35.724088071319485\n            ],\n            [\n              -113.16870988631914,\n              35.9959573825395\n            ],\n            [\n              -112.61031246642614,\n              36.256812611305506\n            ],\n            [\n              -111.97690643788997,\n              35.96223553892966\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"60","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-30","publicationStatus":"PW","scienceBaseUri":"55cdbfc0e4b08400b1fe1456","chorus":{"doi":"10.1002/lno.10031","url":"http://dx.doi.org/10.1002/lno.10031","publisher":"Wiley-Blackwell","authors":"Hall Robert O., Yackulic Charles B., Kennedy Theodore A., Yard Michael D., Rosi-Marshall Emma J., Voichick Nicholas, Behn Kathrine E.","journalName":"Limnology and Oceanography","publicationDate":"1/30/2015","auditedOn":"1/29/2017","publiclyAccessibleDate":"1/30/2015"},"contributors":{"authors":[{"text":"Hall, Robert O. Jr.","contributorId":145459,"corporation":false,"usgs":false,"family":"Hall","given":"Robert O.","suffix":"Jr.","affiliations":[{"id":16121,"text":"Uni. of Wyoming, Department of Zoology and Physiology","active":true,"usgs":false}],"preferred":false,"id":564095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":564094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Theodore A. tkennedy@usgs.gov","contributorId":140027,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore A.","email":"tkennedy@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":564096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yard, Michael D. 0000-0002-6580-6027 myard@usgs.gov","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":2889,"corporation":false,"usgs":true,"family":"Yard","given":"Michael D.","email":"myard@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":564097,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosi-Marshall, Emma J.","contributorId":17722,"corporation":false,"usgs":true,"family":"Rosi-Marshall","given":"Emma","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":564098,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Voichick, Nicholas nvoichick@usgs.gov","contributorId":5015,"corporation":false,"usgs":true,"family":"Voichick","given":"Nicholas","email":"nvoichick@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":564099,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Behn, Kathrine E.","contributorId":83839,"corporation":false,"usgs":true,"family":"Behn","given":"Kathrine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":564100,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70148113,"text":"70148113 - 2015 - Response of crayfish to hyporheic water availability and excess sedimentation","interactions":[],"lastModifiedDate":"2015-06-02T14:01:18","indexId":"70148113","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Response of crayfish to hyporheic water availability and excess sedimentation","docAbstract":"<p><span>Crayfish in many headwater streams regularly cope with seasonal drought. However, it is unclear how landscape changes affect the long-term persistence of crayfish populations. We designed two laboratory experiments to investigate the acute effects of common landscape stressors on crayfish: water withdrawal and sedimentation. The first experiment tested the interaction among water withdrawals (four 24-h water reductions of 0, 15, 30, or 45&nbsp;cm) and two substrate treatments (pebble and cobble) on the burrowing depth of crayfish. The second experiment evaluated the effects of excess fine sediment (three treatments of 0, 45, and 90% sediment) and substrate type (cobble and pebble) on crayfish burrowing depth. Crayfish were able to burrow deeper into the simulated hyporheic zone in cobble substrate when compared to pebble. Crayfish subjected to greater water withdrawals in the pebble treatment were not able to reach the simulated hyporheic zone. Excess fine sediment reduced the depth that crayfish burrowed, regardless of substrate type. Results from this study suggest excess fine sediment may reduce crayfish persistence, particularly when seeking refuge during prolonged dry conditions.</span></p>","language":"English","publisher":"Springer International Publishing","doi":"10.1007/s10750-014-2126-8","usgsCitation":"Dyer, J.J., Worthington, T.A., and Brewer, S.K., 2015, Response of crayfish to hyporheic water availability and excess sedimentation: Hydrobiologia, v. 747, no. 1, p. 147-157, https://doi.org/10.1007/s10750-014-2126-8.","productDescription":"11 p.","startPage":"147","endPage":"157","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057495","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"747","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-11","publicationStatus":"PW","scienceBaseUri":"556ed3d3e4b0d9246a9fa7f6","contributors":{"authors":[{"text":"Dyer, Joseph J.","contributorId":140681,"corporation":false,"usgs":false,"family":"Dyer","given":"Joseph","email":"","middleInitial":"J.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":548079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Worthington, Thomas A.","contributorId":140662,"corporation":false,"usgs":false,"family":"Worthington","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":548080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547436,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70155239,"text":"70155239 - 2015 - Pharmaceuticals and other contaminants of emerging concern in landfill leachate of the United States","interactions":[],"lastModifiedDate":"2021-05-28T14:05:30.872336","indexId":"70155239","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5376,"text":"Norman Network Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Pharmaceuticals and other contaminants of emerging concern in landfill leachate of the United States","docAbstract":"<p>Landfills are commonly the final respository for a heterogeneous mixture of waste from residential, commercial, and industrial sources. The use of landfills as a means of waste disposal will likely increase as the global population increases and nations develop. Thus, landfills receiving such waste have the potential to produce leachate containing numerous organic chemicals including contaminants of emerging concern (CECs) such as pharmaceuticals, personal care products, and hormones. This leachate is often discharged to pathways that lead directly (e.g. groundwater, streams) or indirectly (e.g. wastewater treament plants) to the environment. Limited research, however, has been conducted regarding the characterisation of landfill leachate for CECs.</p><p>To provide the first national-scale assessment of CECs in landfill leachate across the United States, fresh leachate samples (i.e. prior to onsite treatment) from 19 landfills in 16 states were collected in 2011 and analysed for 202 CECs [1]. The targeted CECs were selected for analysis because they were expected to be persistent in the environment; are used, excreted, or disposed of in substantial quantities; may have human or environmental health effects; or are potential indicators of environmentally relevant classes of chemicals or source materials.</p>","language":"English","publisher":"NORMAN Network","usgsCitation":"Kolpin, D.W., Masoner, J.R., Furlong, E.T., Cozzarelli, I.M., Gray, J.L., and Schwab, E.A., 2015, Pharmaceuticals and other contaminants of emerging concern in landfill leachate of the United States: Norman Network Bulletin, no. 4, p. 10-11.","productDescription":"2 p.","startPage":"10","endPage":"11","ipdsId":"IP-060521","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":340118,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":305867,"type":{"id":15,"text":"Index Page"},"url":"https://www.norman-network.net/?q=NORMAN%20Bulletin"}],"country":"United States","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58fdbd15e4b0074928294485","contributors":{"authors":[{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":565256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Masoner, Jason R. 0000-0002-4829-6379 jmasoner@usgs.gov","orcid":"https://orcid.org/0000-0002-4829-6379","contributorId":3193,"corporation":false,"usgs":true,"family":"Masoner","given":"Jason","email":"jmasoner@usgs.gov","middleInitial":"R.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":656281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":656282,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":656283,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gray, James L. 0000-0002-0807-5635 jlgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":1253,"corporation":false,"usgs":true,"family":"Gray","given":"James","email":"jlgray@usgs.gov","middleInitial":"L.","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":656284,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schwab, Eric A. easchwab@usgs.gov","contributorId":4222,"corporation":false,"usgs":true,"family":"Schwab","given":"Eric","email":"easchwab@usgs.gov","middleInitial":"A.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"preferred":true,"id":656285,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70156354,"text":"70156354 - 2015 - Effects of fire on small mammal communities in frequent-fire forests in California","interactions":[],"lastModifiedDate":"2015-08-20T11:51:08","indexId":"70156354","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Effects of fire on small mammal communities in frequent-fire forests in California","docAbstract":"<p><span>Fire is a natural, dynamic process that is integral to maintaining ecosystem function. The reintroduction of fire (e.g., prescribed fire, managed wildfire) is a critical management tool for protecting many frequent-fire forests against stand-replacing fires while restoring an essential ecological process. Understanding the effects of fire on forests and wildlife communities is important in natural resource planning efforts. Small mammals are key components of forest food webs and essential to ecosystem function. To investigate the relationship of fire to small mammal assemblages, we live trapped small mammals in 10 burned and 10 unburned forests over 2 years in the central Sierra Nevada, California. Small mammal abundance was higher in unburned forests, largely reflecting the greater proportion of closed-canopy species such as&nbsp;</span><i>Glaucomys sabrinus</i><span>&nbsp;in unburned forests. The most abundant species across the entire study area was the highly adaptable generalist species,&nbsp;</span><i>Peromyscus maniculatus</i><span>. Species diversity was similar between burned and unburned forests, but burned forests were characterized by greater habitat heterogeneity and higher small mammal species evenness. The use and reintroduction of fire to maintain a matrix of burn severities, including large patches of unburned refugia, creates a heterogeneous and resilient landscape that allows for fire-sensitive species to proliferate and, as such, may help maintain key ecological functions and diverse small mammal assemblages.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/jmammal/gyu011","usgsCitation":"Roberts, S.L., Kelt, D.A., Van Wagtendonk, J.W., Miles, A.K., and Meyer, M.D., 2015, Effects of fire on small mammal communities in frequent-fire forests in California: Journal of Mammalogy, v. 96, no. 1, p. 107-119, https://doi.org/10.1093/jmammal/gyu011.","productDescription":"13 p.","startPage":"107","endPage":"119","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-008194","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":472254,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyu011","text":"Publisher Index Page"},{"id":307008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.091552734375,\n              36.86204269508728\n            ],\n            [\n              -120.091552734375,\n              37.599000150648514\n            ],\n            [\n              -118.223876953125,\n              37.599000150648514\n            ],\n            [\n              -118.223876953125,\n              36.86204269508728\n            ],\n            [\n              -120.091552734375,\n              36.86204269508728\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"96","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-27","publicationStatus":"PW","scienceBaseUri":"55d6fa31e4b0518e3546bc35","contributors":{"authors":[{"text":"Roberts, Susan L.","contributorId":85312,"corporation":false,"usgs":true,"family":"Roberts","given":"Susan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":568835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelt, Douglas A.","contributorId":97232,"corporation":false,"usgs":true,"family":"Kelt","given":"Douglas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":568836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Wagtendonk, Jan W. jan_van_wagtendonk@usgs.gov","contributorId":2648,"corporation":false,"usgs":true,"family":"Van Wagtendonk","given":"Jan","email":"jan_van_wagtendonk@usgs.gov","middleInitial":"W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":568834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miles, A. Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":568837,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Marc D.","contributorId":146492,"corporation":false,"usgs":false,"family":"Meyer","given":"Marc","email":"","middleInitial":"D.","affiliations":[{"id":16711,"text":"USDA Forest Service, Clovis, CA","active":true,"usgs":false}],"preferred":false,"id":568838,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70147405,"text":"70147405 - 2015 - Revisions to some parameters used in stochastic-method simulations of ground motion","interactions":[],"lastModifiedDate":"2015-05-01T10:46:17","indexId":"70147405","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Revisions to some parameters used in stochastic-method simulations of ground motion","docAbstract":"<p><span>The stochastic method of ground‐motion simulation specifies the amplitude spectrum as a function of magnitude (</span><span>M</span><span>) and distance (</span><i>R</i><span>). The manner in which the amplitude spectrum varies with&nbsp;</span><span>M</span><span>&nbsp;and&nbsp;</span><i>R</i><span>&nbsp;depends on physical‐based parameters that are often constrained by recorded motions for a particular region (e.g., stress parameter, geometrical spreading, quality factor, and crustal amplifications), which we refer to as the seismological model. The remaining ingredient for the stochastic method is the ground‐motion duration. Although the duration obviously affects the character of the ground motion in the time domain, it also significantly affects the response of a single‐degree‐of‐freedom oscillator. Recently published updates to the stochastic method include a new generalized double‐corner‐frequency source model, a new finite‐fault correction, a new parameterization of duration, and a new duration model for active crustal regions. In this article, we augment these updates with a new crustal amplification model and a new duration model for stable continental regions. Random‐vibration theory (RVT) provides a computationally efficient method to compute the peak oscillator response directly from the ground‐motion amplitude spectrum and duration. Because the correction factor used to account for the nonstationarity of the ground motion depends on the ground‐motion amplitude spectrum and duration, we also present new RVT correction factors for both active and stable regions.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120140281","usgsCitation":"Boore, D., and Thompson, E., 2015, Revisions to some parameters used in stochastic-method simulations of ground motion: Bulletin of the Seismological Society of America, v. 105, no. 2A, p. 1029-1041, https://doi.org/10.1785/0120140281.","productDescription":"13 p.","startPage":"1029","endPage":"1041","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061693","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":300018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"2A","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-03","publicationStatus":"PW","scienceBaseUri":"5544a3b6e4b0a658d79478ce","contributors":{"authors":[{"text":"Boore, David 0000-0002-8605-9673 boore@usgs.gov","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":140502,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":545913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Eric M.","contributorId":79193,"corporation":false,"usgs":false,"family":"Thompson","given":"Eric M.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":545914,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70143551,"text":"70143551 - 2015 - Hydroclimatic conditions preceding the March 2014 Oso landslide","interactions":[],"lastModifiedDate":"2015-06-02T11:24:40","indexId":"70143551","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2344,"text":"Journal of Hydrometeorology","active":true,"publicationSubtype":{"id":10}},"title":"Hydroclimatic conditions preceding the March 2014 Oso landslide","docAbstract":"<p><span>The 22 March 2014 Oso landslide was one of the deadliest in U.S. history, resulting in 43 fatalities and the destruction of more than 40 structures. We examine synoptic conditions, precipitation records and soil moisture reconstructions in the days, months, and years preceding the landslide. Atmospheric reanalysis shows a period of enhanced moisture transport to the Pacific Northwest beginning on 11 February 2014. The 21- to 42-day periods prior to the landslide had anomalously high precipitation; we estimate that 300-400 mm of precipitation fell at Oso in the 21 days prior to the landslide. Relative only to historical periods ending on 22 March, the return periods of these precipitation accumulations are large (25-88 years). However, relative to the largest accumulations from any time of the year (annual maxima), return periods are more modest (2-6 years). In addition to the 21-42 days prior to the landslide, there is a secondary maximum in the precipitation return periods for the 4 years preceding the landslide. Reconstructed soil moisture was anomalously high prior to the landslide, with a return period that exceeded 40 years about a week before the event.</span></p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JHM-D-15-0008.1","usgsCitation":"Henn, B., Cao, Q., Lettenmaier, D.P., Magirl, C.S., Mass, C., Bower, J.B., St. Laurent, M., Mao, Y., and Perica, S., 2015, Hydroclimatic conditions preceding the March 2014 Oso landslide: Journal of Hydrometeorology, v. 16, no. 3, p. 1243-1249, https://doi.org/10.1175/JHM-D-15-0008.1.","productDescription":"7 p.","startPage":"1243","endPage":"1249","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061638","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":472244,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jhm-d-15-0008.1","text":"Publisher Index Page"},{"id":298832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.167724609375,\n              47.27177506640826\n            ],\n            [\n              -123.167724609375,\n              48.94415123418794\n            ],\n            [\n              -119.388427734375,\n              48.94415123418794\n            ],\n            [\n              -119.388427734375,\n              47.27177506640826\n            ],\n            [\n              -123.167724609375,\n              47.27177506640826\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550d44c0e4b02e76d759d87f","contributors":{"authors":[{"text":"Henn, Brian","contributorId":139777,"corporation":false,"usgs":false,"family":"Henn","given":"Brian","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":542793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cao, Qian","contributorId":139778,"corporation":false,"usgs":false,"family":"Cao","given":"Qian","email":"","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":542794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lettenmaier, Dennis P.","contributorId":139779,"corporation":false,"usgs":false,"family":"Lettenmaier","given":"Dennis","email":"","middleInitial":"P.","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":542795,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mass, Clifford","contributorId":139780,"corporation":false,"usgs":false,"family":"Mass","given":"Clifford","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":542796,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bower, J. Brent","contributorId":138697,"corporation":false,"usgs":false,"family":"Bower","given":"J.","email":"","middleInitial":"Brent","affiliations":[{"id":12498,"text":"NOAA National Weather Service, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":542797,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"St. Laurent, Michael","contributorId":139782,"corporation":false,"usgs":false,"family":"St. Laurent","given":"Michael","email":"","affiliations":[{"id":12907,"text":"NOAA/Hydrometeorological Design Studies Center","active":true,"usgs":false}],"preferred":false,"id":542798,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mao, Yixin","contributorId":139783,"corporation":false,"usgs":false,"family":"Mao","given":"Yixin","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":542799,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Perica, Sanja","contributorId":139784,"corporation":false,"usgs":false,"family":"Perica","given":"Sanja","email":"","affiliations":[{"id":12907,"text":"NOAA/Hydrometeorological Design Studies Center","active":true,"usgs":false}],"preferred":false,"id":542800,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70146207,"text":"70146207 - 2015 - Large fractions of CO<sub>2</sub>-fixing microorganisms in pristine limestone aquifers appear to be involved in the oxidation of reduced sulfur and nitrogen compounds","interactions":[],"lastModifiedDate":"2015-04-14T11:28:30","indexId":"70146207","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Large fractions of CO<sub>2</sub>-fixing microorganisms in pristine limestone aquifers appear to be involved in the oxidation of reduced sulfur and nitrogen compounds","docAbstract":"<p><span>The traditional view of the dependency of subsurface environments on surface-derived allochthonous carbon inputs is challenged by increasing evidence for the role of lithoautotrophy in aquifer carbon flow. We linked information on autotrophy (Calvin-Benson-Bassham cycle) with that from total microbial community analysis in groundwater at two superimposed&mdash;upper and lower&mdash;limestone groundwater reservoirs (aquifers). Quantitative PCR revealed that up to 17% of the microbial population had the genetic potential to fix CO</span><sub>2</sub><span>&nbsp;via the Calvin cycle, with abundances of&nbsp;</span><i>cbbM</i><span>&nbsp;and&nbsp;</span><i>cbbL</i><span>&nbsp;genes, encoding RubisCO (ribulose-1,5-bisphosphate carboxylase/oxygenase) forms I and II, ranging from 1.14 &times; 10</span><sup>3</sup><span>&nbsp;to 6 &times; 10</span><sup>6</sup><span>&nbsp;genes liter</span><sup>&minus;1</sup><span>&nbsp;over a 2-year period. The structure of the active microbial communities based on 16S rRNA transcripts differed between the two aquifers, with a larger fraction of heterotrophic, facultative anaerobic, soil-related groups in the oxygen-deficient upper aquifer. Most identified CO</span><sub>2</sub><span>-assimilating phylogenetic groups appeared to be involved in the oxidation of sulfur or nitrogen compounds and harbored both RubisCO forms I and II, allowing efficient CO</span><sub>2</sub><span>&nbsp;fixation in environments with strong oxygen and CO</span><sub>2</sub><span>&nbsp;fluctuations. The genera&nbsp;</span><span id=\"named-content-1\" class=\"named-content genus-species\">Sulfuricella</span><span>and&nbsp;</span><span id=\"named-content-2\" class=\"named-content genus-species\">Nitrosomonas</span><span>&nbsp;were represented by read fractions of up to 78 and 33%, respectively, within the&nbsp;</span><i>cbbM</i><span>&nbsp;and&nbsp;</span><i>cbbL</i><span>&nbsp;transcript pool and accounted for 5.6 and 3.8% of 16S rRNA sequence reads, respectively, in the lower aquifer. Our results indicate that a large fraction of bacteria in pristine limestone aquifers has the genetic potential for autotrophic CO</span><sub>2</sub><span>&nbsp;fixation, with energy most likely provided by the oxidation of reduced sulfur and nitrogen compounds.</span></p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/AEM.03269-14","usgsCitation":"Herrmann, M., Rusznyak, A., Akob, D.M., Schulze, I., Opitz, S., Totsche, K., and Küsel, K., 2015, Large fractions of CO<sub>2</sub>-fixing microorganisms in pristine limestone aquifers appear to be involved in the oxidation of reduced sulfur and nitrogen compounds: Applied and Environmental Microbiology, v. 81, no. 7, p. 2384-2394, https://doi.org/10.1128/AEM.03269-14.","productDescription":"11 p.","startPage":"2384","endPage":"2394","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061930","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":472252,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1128/aem.03269-14","text":"External Repository"},{"id":299661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"552e3a2fe4b0b22a157fa0a7","contributors":{"authors":[{"text":"Herrmann, Martina","contributorId":140231,"corporation":false,"usgs":false,"family":"Herrmann","given":"Martina","email":"","affiliations":[{"id":13425,"text":"Aquatic Geomicrobiology, Institute of Ecology, Friedrich Schiller University Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":544807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rusznyak, Anna","contributorId":140232,"corporation":false,"usgs":false,"family":"Rusznyak","given":"Anna","email":"","affiliations":[{"id":13425,"text":"Aquatic Geomicrobiology, Institute of Ecology, Friedrich Schiller University Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":544808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Akob, Denise M. 0000-0003-1534-3025 dakob@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":4980,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","email":"dakob@usgs.gov","middleInitial":"M.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":544806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schulze, Isabel","contributorId":140233,"corporation":false,"usgs":false,"family":"Schulze","given":"Isabel","email":"","affiliations":[{"id":13425,"text":"Aquatic Geomicrobiology, Institute of Ecology, Friedrich Schiller University Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":544809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Opitz, Sebastian","contributorId":140234,"corporation":false,"usgs":false,"family":"Opitz","given":"Sebastian","email":"","affiliations":[{"id":13425,"text":"Aquatic Geomicrobiology, Institute of Ecology, Friedrich Schiller University Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":544810,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Totsche, Kai Uwe","contributorId":87462,"corporation":false,"usgs":false,"family":"Totsche","given":"Kai Uwe","affiliations":[],"preferred":false,"id":544811,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Küsel, Kirsten","contributorId":96191,"corporation":false,"usgs":false,"family":"Küsel","given":"Kirsten","affiliations":[{"id":13425,"text":"Aquatic Geomicrobiology, Institute of Ecology, Friedrich Schiller University Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":544812,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70146206,"text":"70146206 - 2015 - Carbon flow from volcanic CO<sub>2</sub> into soil microbial communities of a wetland mofette","interactions":[],"lastModifiedDate":"2015-04-14T11:38:50","indexId":"70146206","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3563,"text":"The ISME Journal","active":true,"publicationSubtype":{"id":10}},"title":"Carbon flow from volcanic CO<sub>2</sub> into soil microbial communities of a wetland mofette","docAbstract":"<p>Effects of extremely high carbon dioxide (CO<sub>2</sub>) concentrations on soil microbial communities and associated processes are largely unknown. We studied a wetland area affected by spots of subcrustal CO<sub>2</sub>&nbsp;degassing (mofettes) with focus on anaerobic autotrophic methanogenesis and acetogenesis because the pore gas phase was largely hypoxic. Compared with a reference soil, the mofette was more acidic (&Delta;pH ~0.8), strongly enriched in organic carbon (up to 10 times), and exhibited lower prokaryotic diversity. It was dominated by methanogens and subdivision 1Acidobacteria, which likely thrived under stable hypoxia and acidic pH. Anoxic incubations revealed enhanced formation of acetate and methane (CH<sub>4</sub>) from hydrogen (H<sub>2</sub>) and CO<sub>2</sub>&nbsp;consistent with elevated CH<sub>4</sub>&nbsp;and acetate levels in the mofette soil.&nbsp;<sup>13</sup>CO<sub>2</sub>&nbsp;mofette soil incubations showed high label incorporations with ~512<span class=\"mb\"><span class=\"mb\">&thinsp;</span></span>ng<sup>13</sup>C<span class=\"mb\"><span class=\"mb\">&thinsp;</span></span>g<span class=\"mb\"><span class=\"mb\">&thinsp;</span></span>(dry weight (dw)) soil<sup>&minus;1</sup><span class=\"mb\"><span class=\"mb\">&thinsp;</span></span>d<sup>&minus;1</sup>&nbsp;into the bulk soil and up to 10.7<span class=\"mb\"><span class=\"mb\">&thinsp;</span></span>ng&nbsp;<sup>13</sup>C<span class=\"mb\"><span class=\"mb\">&thinsp;</span></span>g<span class=\"mb\"><span class=\"mb\">&thinsp;</span></span>(dw) soil<sup>&minus;1</sup><span class=\"mb\"><span class=\"mb\">&thinsp;</span></span>d<sup>&minus;1</sup>&nbsp;into almost all analyzed bacterial lipids. Incorporation of CO<sub>2</sub>-derived carbon into archaeal lipids was much lower and restricted to the first 10<span class=\"mb\"><span class=\"mb\">&thinsp;</span></span>cm of the soil. DNA-SIP analysis revealed that acidophilic methanogens affiliated withMethanoregulaceae&nbsp;and hitherto unknown acetogens appeared to be involved in the chemolithoautotrophic utilization of&nbsp;<sup>13</sup>CO<sub>2</sub>. Subdivision 1&nbsp;Acidobacteriaceae&nbsp;assimilated&nbsp;<sup>13</sup>CO<sub>2</sub>&nbsp;likely via anaplerotic reactions because&nbsp;Acidobacteriaceae&nbsp;are not known to harbor enzymatic pathways for autotrophic CO<sub>2</sub>&nbsp;assimilation. We conclude that CO<sub>2</sub>-induced geochemical changes promoted anaerobic and acidophilic organisms and altered carbon turnover in affected soils.</p>","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/ismej.2014.148","usgsCitation":"Beulig, F., Heuer, V.B., Akob, D.M., Viehweger, B., Elvert, M., Herrmann, M., Hinrichs, K., and Küsel, K., 2015, Carbon flow from volcanic CO<sub>2</sub> into soil microbial communities of a wetland mofette: The ISME Journal, v. 9, no. 3, p. 746-759, https://doi.org/10.1038/ismej.2014.148.","productDescription":"14 p.","startPage":"746","endPage":"759","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057849","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":472253,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/ismej.2014.148","text":"Publisher Index Page"},{"id":299662,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-12","publicationStatus":"PW","scienceBaseUri":"552e3a2ae4b0b22a157fa09f","contributors":{"authors":[{"text":"Beulig, Felix","contributorId":56971,"corporation":false,"usgs":true,"family":"Beulig","given":"Felix","email":"","affiliations":[],"preferred":false,"id":544799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heuer, Verena B.","contributorId":140229,"corporation":false,"usgs":false,"family":"Heuer","given":"Verena","email":"","middleInitial":"B.","affiliations":[{"id":13424,"text":"Organic Geochemistry Group, Dept. of Geosciences and MARUM Center for Marine Environmental Sciences, University of Bremen, Germany","active":true,"usgs":false}],"preferred":false,"id":544800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Akob, Denise M. 0000-0003-1534-3025 dakob@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":4980,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","email":"dakob@usgs.gov","middleInitial":"M.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":544798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Viehweger, Bernhard","contributorId":140230,"corporation":false,"usgs":false,"family":"Viehweger","given":"Bernhard","email":"","affiliations":[{"id":13424,"text":"Organic Geochemistry Group, Dept. of Geosciences and MARUM Center for Marine Environmental Sciences, University of Bremen, Germany","active":true,"usgs":false}],"preferred":false,"id":544801,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Elvert, Marcus","contributorId":102362,"corporation":false,"usgs":true,"family":"Elvert","given":"Marcus","affiliations":[],"preferred":false,"id":544802,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herrmann, Martina","contributorId":140231,"corporation":false,"usgs":false,"family":"Herrmann","given":"Martina","email":"","affiliations":[{"id":13425,"text":"Aquatic Geomicrobiology, Institute of Ecology, Friedrich Schiller University Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":544804,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hinrichs, Kai-Uwe","contributorId":89791,"corporation":false,"usgs":true,"family":"Hinrichs","given":"Kai-Uwe","affiliations":[],"preferred":false,"id":544803,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Küsel, Kirsten","contributorId":96191,"corporation":false,"usgs":false,"family":"Küsel","given":"Kirsten","affiliations":[{"id":13425,"text":"Aquatic Geomicrobiology, Institute of Ecology, Friedrich Schiller University Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":544805,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70136288,"text":"70136288 - 2015 - Two magma bodies beneath the summit of Kilauea Volcano unveiled by isotopically distinct melt deliveries from the mantle","interactions":[],"lastModifiedDate":"2016-07-11T13:52:03","indexId":"70136288","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Two magma bodies beneath the summit of Kilauea Volcano unveiled by isotopically distinct melt deliveries from the mantle","docAbstract":"<p><span>The summit magma storage reservoir of Kīlauea Volcano is one of the most important components of the magmatic plumbing system of this frequently active basaltic shield-building volcano. Here we use new high-precision Pb isotopic analyses of Kīlauea summit lavas&mdash;from 1959 to the active Halema&lsquo;uma&lsquo;u lava lake&mdash;to infer the number, size, and interconnectedness of magma bodies within the volcano's summit reservoir. From 1971 to 1982, the&nbsp;</span><sup>206</sup><span>Pb/</span><sup>204</sup><span>Pb ratios of the lavas define two separate magma mixing trends that correlate with differences in vent location and/or pre-eruptive magma temperature. These relationships, which contrast with a single magma mixing trend for lavas from 1959 to 1968, indicate that Kīlauea summit eruptions since at least 1971 were supplied from two distinct magma bodies. The locations of these magma bodies are inferred to coincide with two major deformation centers identified by geodetic monitoring of the volcano's summit region: (1) the main locus of the summit reservoir &sim;2&ndash;4 km below the southern rim of Kīlauea Caldera and (2) a shallower magma body &lt;2 km below the eastern rim of Halema&lsquo;uma&lsquo;u pit crater. Residence time modeling suggests that the total volume of magma within Kīlauea's summit reservoir during the late 20th century (1959&ndash;1982) was exceedingly small (&sim;0.1&ndash;0.5 km</span><sup>3</sup><span>). Voluminous Kīlauea eruptions, such as the ongoing, 32-yr old Pu&lsquo;u &lsquo;Ō&lsquo;ō rift eruption (&gt;4 km</span><sup>3</sup><span>&nbsp;of lava erupted), must therefore be sustained by a nearly continuous supply of new melt from the mantle. The model results show that a minimum of four compositionally distinct, mantle-derived magma batches were delivered to the volcano (at least three directly to the summit reservoir) since 1959. These melt inputs correlate with the initiation of energetic (1959 Kīlauea Iki) and/or sustained (1969&ndash;1974 Mauna Ulu, 1983-present Pu&lsquo;u &lsquo;Ō&lsquo;ō and 2008-present Halema&lsquo;uma&lsquo;u) eruptions. Thus, Kīlauea's eruptive behavior is partly tied to the delivery of new magma batches from the volcano's source region within the Hawaiian mantle plume.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2014.12.040","usgsCitation":"Pietruszka, A.J., Heaton, D.E., Marske, J.P., and Garcia, M.O., 2015, Two magma bodies beneath the summit of Kilauea Volcano unveiled by isotopically distinct melt deliveries from the mantle: Earth and Planetary Science Letters, v. 413, p. 90-100, https://doi.org/10.1016/j.epsl.2014.12.040.","productDescription":"11 p.","startPage":"90","endPage":"100","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053879","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":325028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.20042419433594,\n              19.344188652729514\n            ],\n            [\n              -155.20042419433594,\n              19.38451428768728\n            ],\n            [\n              -155.12231826782227,\n              19.38451428768728\n            ],\n            [\n              -155.12231826782227,\n              19.344188652729514\n            ],\n            [\n              -155.20042419433594,\n              19.344188652729514\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"413","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5784c346e4b0e02680be59f6","contributors":{"authors":[{"text":"Pietruszka, Aaron J. 0000-0002-2826-9509 apietruszka@usgs.gov","orcid":"https://orcid.org/0000-0002-2826-9509","contributorId":4552,"corporation":false,"usgs":true,"family":"Pietruszka","given":"Aaron","email":"apietruszka@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":537306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heaton, Daniel E.","contributorId":172800,"corporation":false,"usgs":false,"family":"Heaton","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":642121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marske, Jared P.","contributorId":172801,"corporation":false,"usgs":false,"family":"Marske","given":"Jared","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":642122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, Michael O.","contributorId":51636,"corporation":false,"usgs":true,"family":"Garcia","given":"Michael","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":642123,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70146993,"text":"70146993 - 2015 - EverVIEW: a visualization platform for hydrologic and Earth science gridded data","interactions":[],"lastModifiedDate":"2015-04-24T11:47:41","indexId":"70146993","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"EverVIEW: a visualization platform for hydrologic and Earth science gridded data","docAbstract":"<p><span>The EverVIEW Data Viewer is a cross-platform desktop application that combines and builds upon multiple open source libraries to help users to explore spatially-explicit gridded data stored in Network Common Data Form (NetCDF). Datasets are displayed across multiple side-by-side geographic or tabular displays, showing colorized overlays on an Earth globe or grid cell values, respectively. Time-series datasets can be animated to see how water surface elevation changes through time or how habitat suitability for a particular species might change over time under a given scenario. Initially targeted toward Florida's Everglades restoration planning, EverVIEW has been flexible enough to address the varied needs of large-scale planning beyond Florida, and is currently being used in biological planning efforts nationally and internationally.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2014.12.004","usgsCitation":"Romañach, S., McKelvy, M., Suir, K.J., and Conzelmann, C., 2015, EverVIEW: a visualization platform for hydrologic and Earth science gridded data: Computers & Geosciences, v. 76, p. 88-95, https://doi.org/10.1016/j.cageo.2014.12.004.","productDescription":"8 p.","startPage":"88","endPage":"95","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056104","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":472245,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.cageo.2014.12.004","text":"Publisher Index Page"},{"id":299865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"553b6945e4b0a658d79371bb","chorus":{"doi":"10.1016/j.cageo.2014.12.004","url":"http://dx.doi.org/10.1016/j.cageo.2014.12.004","publisher":"Elsevier BV","authors":"Romañach Stephanie S., McKelvy Mark, Suir Kevin, Conzelmann Craig","journalName":"Computers & Geosciences","publicationDate":"3/2015","auditedOn":"2/10/2015","publiclyAccessibleDate":"12/16/2014"},"contributors":{"authors":[{"text":"Romañach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":138936,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie S.","email":"sromanach@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":545554,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKelvy, Mark 0000-0001-5465-2571 mckelvym@usgs.gov","orcid":"https://orcid.org/0000-0001-5465-2571","contributorId":4865,"corporation":false,"usgs":true,"family":"McKelvy","given":"Mark","email":"mckelvym@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":545555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suir, Kevin J. 0000-0003-1570-9648 suirk@usgs.gov","orcid":"https://orcid.org/0000-0003-1570-9648","contributorId":4894,"corporation":false,"usgs":true,"family":"Suir","given":"Kevin","email":"suirk@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":545556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conzelmann, Craig 0000-0002-4227-8719 conzelmannc@usgs.gov","orcid":"https://orcid.org/0000-0002-4227-8719","contributorId":2361,"corporation":false,"usgs":true,"family":"Conzelmann","given":"Craig","email":"conzelmannc@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":545557,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70144704,"text":"70144704 - 2015 - Flow management and fish density regulate salmonid recruitment and adult size in tailwaters across western North America","interactions":[],"lastModifiedDate":"2015-12-21T13:16:57","indexId":"70144704","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Flow management and fish density regulate salmonid recruitment and adult size in tailwaters across western North America","docAbstract":"<p class=\"first\">Rainbow and brown trout have been intentionally introduced into tailwaters downriver of dams globally and provide billions of dollars in economic benefits. At the same time, recruitment and maximum length of trout populations in tailwaters often fluctuate erratically, which negatively affects the value of fisheries. Large recruitment events may increase dispersal downriver where other fish species may be a priority (e.g., endangered species). There is an urgent need to understand the drivers of trout population dynamics in tailwaters, in particular the role of flow management. Here, we evaluate how flow, fish density, and other physical factors of the river influence recruitment and mean adult length in tailwaters across western North America using data from 29 dams spanning 1-19 years. Rainbow trout recruitment was negatively correlated with high annual, summer, and spring flow and dam latitude, and positively correlated with high winter flow, sub-adult brown trout catch, and reservoir storage capacity. Brown trout recruitment was negatively correlated with high water velocity and daily fluctuations in flow (i.e., hydropeaking) and positively correlated with adult rainbow trout catch. Among these many drivers, rainbow trout recruitment was primarily correlated with high winter flow combined with low spring flow, whereas brown trout recruitment was most related to high water velocity.</p>\n<p class=\"last\">The mean lengths of adult rainbow and brown trout were influenced by similar flow and catch metrics. Length in both species was positively correlated with high annual flow but declined in tailwaters with high daily fluctuations in flow, high catch rates of conspecifics, and when large cohorts recruited to adult size. Whereas brown trout did not respond to the proportion of water allocated between seasons, rainbow trout length increased in rivers that released more water during winter than in spring. Rainbow trout length was primarily related to high catch rates of conspecifics, whereas brown trout length was mainly related to large cohorts recruiting to the adult size class. Species-specific responses to flow management are likely attributable to differences in seasonal timing of key life history events such as spawning, egg hatching, and fry emergence.</p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/14-2211.1","usgsCitation":"Dibble, K.L., Yackulic, C.B., Kennedy, T., and Budy, P.E., 2015, Flow management and fish density regulate salmonid recruitment and adult size in tailwaters across western North America: Ecological Applications, v. 25, no. 8, p. 2168-2179, https://doi.org/10.1890/14-2211.1.","productDescription":"12 p.","startPage":"2168","endPage":"2179","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060840","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":438714,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F79P2ZQ2","text":"USGS data release","linkHelpText":"Flow management and fish density regulate salmonid recruitment and adult size in tailwaters across western North AmericaData"},{"id":299221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.0244140625,\n              31.31610138349565\n            ],\n            [\n              -125.0244140625,\n              49.009050809382046\n            ],\n            [\n              -101.90917968749999,\n              49.009050809382046\n            ],\n            [\n              -101.90917968749999,\n              31.31610138349565\n            ],\n            [\n              -125.0244140625,\n              31.31610138349565\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551bc52be4b0323842783a4a","contributors":{"authors":[{"text":"Dibble, Kimberly L. 0000-0003-0799-4477 kdibble@usgs.gov","orcid":"https://orcid.org/0000-0003-0799-4477","contributorId":5174,"corporation":false,"usgs":true,"family":"Dibble","given":"Kimberly","email":"kdibble@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":543797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":543798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Theodore A. tkennedy@usgs.gov","contributorId":3320,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore A.","email":"tkennedy@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":543799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Budy, Phaedra E. pbudy@usgs.gov","contributorId":2232,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":322,"text":"Grand Canyon Monitoring and Research Center","active":false,"usgs":true}],"preferred":false,"id":543800,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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